Instructions to use AnonymousCS/populism_classifier_351 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_351 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_351")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_351") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_351", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6136790aab3d7f279204bf984de1b759a9f6ae91cba164f92134aca251f0183e
- Size of remote file:
- 5.43 kB
- SHA256:
- 179a248753194c0f95ae995a715a17317482275dc70df7a216d84553e0d7e9f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.